Integrating the Ecological Approach in Disease Prevention and Health Promotion Programs for Older Adults
Bibliographic record
Abstract
The objective of this study was to identify contextual factors influencing the degree of integration of the ecological approach in disease prevention and health promotion (DPHP) programming initiatives for older adults in two public health organizations in Québec, Canada. A case study design was used and two organizations presenting contrasting profiles in the degree of integration of the approach in their DPHP programming for older adults were selected. Face-to-face interviews with professionals and managers and archival analysis were conducted. Several factors emerged as constraining the integration of the approach in both organizations, including the lack of data showing the effectiveness of DPHP interventions for older adults and the presence of macro-contextual political factors at odds with the ideology of DPHP. Resources and partnerships with academic milieus emerged as key factors distinguishing the two organizations. These results provide increased understanding of conditions required for planning DPHP programs for older adults.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".